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Artigo de periodico
Sticky multicolor mechanochromic labels (2024)
Castro, Lucas Daniel Chiba de ; Engels, Tom A. P. ; Oliveira Junior, Osvaldo Novais de ; Schenning, Albert P. H. J.
Source: ACS Applied Materials and Interfaces. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS
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ABNT
CASTRO, Lucas Daniel Chiba de et al. Sticky multicolor mechanochromic labels. ACS Applied Materials and Interfaces, v. 16, n. 11, p. 14144-14151 + supporting information: S1-S12, 2024Tradução . . Disponível em: https://doi.org/10.1021/acsami.3c19420. Acesso em: 26 jun. 2024.
APA
Castro, L. D. C. de, Engels, T. A. P., Oliveira Junior, O. N. de, & Schenning, A. P. H. J. (2024). Sticky multicolor mechanochromic labels. ACS Applied Materials and Interfaces, 16( 11), 14144-14151 + supporting information: S1-S12. doi:10.1021/acsami.3c19420
NLM
Castro LDC de, Engels TAP, Oliveira Junior ON de, Schenning APHJ. Sticky multicolor mechanochromic labels [Internet]. ACS Applied Materials and Interfaces. 2024 ; 16( 11): 14144-14151 + supporting information: S1-S12.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1021/acsami.3c19420
Vancouver
Castro LDC de, Engels TAP, Oliveira Junior ON de, Schenning APHJ. Sticky multicolor mechanochromic labels [Internet]. ACS Applied Materials and Interfaces. 2024 ; 16( 11): 14144-14151 + supporting information: S1-S12.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1021/acsami.3c19420
Artigo de periodico
Learning from machine learning: the case of band-gap directness in semiconductors (2024)
Ogoshi, Elton ; Popolin Neto, Mário ; Acosta, Carlos Mera; Nascimento, Gabriel de Miranda ; Rodrigues, João Nuno Barbosa; Oliveira Junior, Osvaldo Novais de ; Paulovich, Fernando Vieira ; Dalpian, Gustavo Martini
Source: Discover Materials. Unidades: IFSC, IF, ICMC
Subjects: BIG DATA, INTERNET DAS COISAS, APRENDIZADO COMPUTACIONAL
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ABNT
OGOSHI, Elton et al. Learning from machine learning: the case of band-gap directness in semiconductors. Discover Materials, v. 4, p. 6-1-6-14, 2024Tradução . . Disponível em: https://doi.org/10.1007/s43939-024-00073-x. Acesso em: 26 jun. 2024.
APA
Ogoshi, E., Popolin Neto, M., Acosta, C. M., Nascimento, G. de M., Rodrigues, J. N. B., Oliveira Junior, O. N. de, et al. (2024). Learning from machine learning: the case of band-gap directness in semiconductors. Discover Materials, 4, 6-1-6-14. doi:10.1007/s43939-024-00073-x
NLM
Ogoshi E, Popolin Neto M, Acosta CM, Nascimento G de M, Rodrigues JNB, Oliveira Junior ON de, Paulovich FV, Dalpian GM. Learning from machine learning: the case of band-gap directness in semiconductors [Internet]. Discover Materials. 2024 ; 4 6-1-6-14.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1007/s43939-024-00073-x
Vancouver
Ogoshi E, Popolin Neto M, Acosta CM, Nascimento G de M, Rodrigues JNB, Oliveira Junior ON de, Paulovich FV, Dalpian GM. Learning from machine learning: the case of band-gap directness in semiconductors [Internet]. Discover Materials. 2024 ; 4 6-1-6-14.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1007/s43939-024-00073-x
Artigo de periodico
Multidimensional calibration spaces in Staphylococcus Aureus detection using chitosan-based genosensors and electronic tongue (2024)
Soares, Andrey Coatrini ; Soares, Juliana Coatrini ; Popolin Neto, Mário ; Mello, Suelen Scarpa de; Sanches, Edgar Aparecido ; Paulovich, Fernando Vieira ; Oliveira Junior, Osvaldo Novais de ; Mattoso, Luiz Henrique Capparelli
Source: International Journal of Biological Macromolecules. Unidades: IFSC, ICMC
Subjects: STAPHYLOCOCCUS, SENSORES BIOMÉDICOS, MASTITE ANIMAL
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ABNT
SOARES, Andrey Coatrini et al. Multidimensional calibration spaces in Staphylococcus Aureus detection using chitosan-based genosensors and electronic tongue. International Journal of Biological Macromolecules, v. 271, p. 132460-1-132460-10 + supplementary data, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ijbiomac.2024.132460. Acesso em: 26 jun. 2024.
APA
Soares, A. C., Soares, J. C., Popolin Neto, M., Mello, S. S. de, Sanches, E. A., Paulovich, F. V., et al. (2024). Multidimensional calibration spaces in Staphylococcus Aureus detection using chitosan-based genosensors and electronic tongue. International Journal of Biological Macromolecules, 271, 132460-1-132460-10 + supplementary data. doi:10.1016/j.ijbiomac.2024.132460
NLM
Soares AC, Soares JC, Popolin Neto M, Mello SS de, Sanches EA, Paulovich FV, Oliveira Junior ON de, Mattoso LHC. Multidimensional calibration spaces in Staphylococcus Aureus detection using chitosan-based genosensors and electronic tongue [Internet]. International Journal of Biological Macromolecules. 2024 ; 271 132460-1-132460-10 + supplementary data.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1016/j.ijbiomac.2024.132460
Vancouver
Soares AC, Soares JC, Popolin Neto M, Mello SS de, Sanches EA, Paulovich FV, Oliveira Junior ON de, Mattoso LHC. Multidimensional calibration spaces in Staphylococcus Aureus detection using chitosan-based genosensors and electronic tongue [Internet]. International Journal of Biological Macromolecules. 2024 ; 271 132460-1-132460-10 + supplementary data.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1016/j.ijbiomac.2024.132460
Artigo de periodico
Nanoarchitectonic e-tongue of electrospun zein/curcumin carbon dots for detecting staphylococcus aureus in milk (2023)
Soares, Andrey Coatrini ; Soares, Juliana Coatrini ; Santos, Danilo Martins dos ; Migliorini, Fernanda Lanzoni ; Popolin Neto, Mário ; Pinto, Danielle Dos Santos Cinelli; Carvalho, Wanessa Araújo; Brandão, Humberto de Mello; Paulovich, Fernando Vieira ; Corrêa, Daniel Souza ; Oliveira Junior, Osvaldo Novais de ; Mattoso, Luiz Henrique Capparelli
Source: ACS Omega. Unidade: IFSC
Subjects: NEOPLASIAS, PECUÁRIA LEITEIRA, STAPHYLOCOCCUS
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ABNT
SOARES, Andrey Coatrini et al. Nanoarchitectonic e-tongue of electrospun zein/curcumin carbon dots for detecting staphylococcus aureus in milk. ACS Omega, v. 8, n. 15, p. 13721-13732, 2023Tradução . . Disponível em: https://doi.org/10.1021/acsomega.2c07944. Acesso em: 26 jun. 2024.
APA
Soares, A. C., Soares, J. C., Santos, D. M. dos, Migliorini, F. L., Popolin Neto, M., Pinto, D. D. S. C., et al. (2023). Nanoarchitectonic e-tongue of electrospun zein/curcumin carbon dots for detecting staphylococcus aureus in milk. ACS Omega, 8( 15), 13721-13732. doi:10.1021/acsomega.2c07944
NLM
Soares AC, Soares JC, Santos DM dos, Migliorini FL, Popolin Neto M, Pinto DDSC, Carvalho WA, Brandão H de M, Paulovich FV, Corrêa DS, Oliveira Junior ON de, Mattoso LHC. Nanoarchitectonic e-tongue of electrospun zein/curcumin carbon dots for detecting staphylococcus aureus in milk [Internet]. ACS Omega. 2023 ; 8( 15): 13721-13732.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1021/acsomega.2c07944
Vancouver
Soares AC, Soares JC, Santos DM dos, Migliorini FL, Popolin Neto M, Pinto DDSC, Carvalho WA, Brandão H de M, Paulovich FV, Corrêa DS, Oliveira Junior ON de, Mattoso LHC. Nanoarchitectonic e-tongue of electrospun zein/curcumin carbon dots for detecting staphylococcus aureus in milk [Internet]. ACS Omega. 2023 ; 8( 15): 13721-13732.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1021/acsomega.2c07944
Artigo de periodico
Artificial intelligence agents for materials sciences (2023)
Oliveira Junior, Osvaldo Novais de ; Christino, Leonardo Milhomem Franco; Oliveira, Maria Cristina Ferreira de ; Paulovich, Fernando Vieira
Source: Journal of Chemical Information and Modeling. Unidades: IFSC, ICMC
Subjects: ALGORITMOS, APRENDIZADO COMPUTACIONAL, GENÔMICA
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ABNT
OLIVEIRA JUNIOR, Osvaldo Novais de et al. Artificial intelligence agents for materials sciences. Journal of Chemical Information and Modeling, v. 63, n. 24, p. 7605-7609, 2023Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.3c01778. Acesso em: 26 jun. 2024.
APA
Oliveira Junior, O. N. de, Christino, L. M. F., Oliveira, M. C. F. de, & Paulovich, F. V. (2023). Artificial intelligence agents for materials sciences. Journal of Chemical Information and Modeling, 63( 24), 7605-7609. doi:10.1021/acs.jcim.3c01778
NLM
Oliveira Junior ON de, Christino LMF, Oliveira MCF de, Paulovich FV. Artificial intelligence agents for materials sciences [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 24): 7605-7609.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1021/acs.jcim.3c01778
Vancouver
Oliveira Junior ON de, Christino LMF, Oliveira MCF de, Paulovich FV. Artificial intelligence agents for materials sciences [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 24): 7605-7609.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1021/acs.jcim.3c01778

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